Software Engineer | 1-3 years|Java Python REST Langchain

Meet the Team

At Cisco’s Security Business Group, we are securing the world. This is an excellent opportunity to join Cisco's growing product Next Generation Firewall in Cisco's Security Business Group. We are looking for an development engineer who strives in a dynamic environment. You will be developing software with cutting edge technology and integrating various security products in cloud.

Cisco offers a comprehensive end-to-end security portfolio, covering on-premises, cloud, on-device, and hybrid environments. This flexibility allows customers to select solutions tailored to their immediate needs and seamlessly transition across these environments as their requirements evolve.

Responsibilities

• Build and manage high available, reliable and scalable microservices for a central platform component.
• Contribute to quality and timely deliveries.
• Manage, run, enhance CI/CD pipelines.
• Maintain high code quality.
• Contribute to POCs.
  
  

Minimum Qualifications:

• Good understanding of data structures.
• 1-3 years developing and deploying microservices using Java, Python, REST.
• 1 year experience in LangChain, RAG, and vector databases.
• Experience of popular AWS services, including but not limited to DynamoDB, API Gateway.
• Basic understanding of ML algorithms, concepts, and deployment practices.
• Strong problem-solving and debugging skills with guidance from senior team members.
• Ability to collaborate within agile teams using tools like JIRA.
• Familiarity with CI/CD pipelines, version control systems (e.g., Git), and containerization tools like Docker
  
  

Preferred Qualifications:

• Empathetic, curious and fun to work with.
• Exceptional problem-solving skills with strong written and verbal communication abilities and attention to detail.
• Experience in OAuth 2 and OIDC.
• Experience with CI/CD, terraform
• Ensure quality and reliability of ML workflows through unit testing and integration testing.
• Collaborate with team optimize ML models for AI Ops
• Experience in integrating LLMs or embeddings into smaller-scale application